NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/boobshash/numpy-neural-net
Simple and extendable library for deep learning in numpy
deep-learning mlp-classifier numpy
Last synced: 20 Jul 2025
https://github.com/kisaa-fatima/object-detection-using-yolo-v8
From this project I gained practical experience in AI, computer vision, and GUI development, while also understanding the importance of automation in retail processes.
computer-vision gui numpy opencv-python pil roboflow tkinter yolov8
Last synced: 18 May 2026
https://github.com/jaewonson37/python_programming
algorithms data-structures encapsulation exception-handling functions loop matplotlib monte-carlo numpy object-oriented-programming pandas prototyping pseudo-random-number-generation python recursion top-down unit-testing visualization webcrawling
Last synced: 09 May 2026
https://github.com/amiridk/statics-and-algebra-in-python
simple and important statics operations and Famous statistical problems , also algebra operations
algebra itertools matplotlib numpy pandas python scipy seaborn static
Last synced: 24 Feb 2025
https://github.com/nikita620/churn-prediction-using-ann
minor project for Python and AI
artificial-neural-networks matplotlib numpy pandas
Last synced: 03 May 2026
https://github.com/chenna7893/enhancing-customer-retention-a-machine-learning-approach-to-churn-prediction
Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.
decision-tree-classifier matplotlib numpy pandas random-forest-classifier xgboost
Last synced: 02 May 2026
https://github.com/mrhoban/python-syntax-medical-insurance-project
datascience matplotlib numpy python
Last synced: 04 May 2026
https://github.com/rahulchouhan1/air-quality-data-in-india
India Air Quality Analysis (2015-2024)
matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/karthik9273/electric-vehicle-market-segmentation
Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.
data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics
Last synced: 18 Apr 2026
https://github.com/petridhsg/firewall-data-classification
A single implementation of a machine learning algorithm for a firewall data classification task
machine-learning matplotlib numpy python seaborn
Last synced: 01 May 2026
https://github.com/avs123a/image-edge-detection-demo
Demo of image edges detection using different operators, norms and custom masks
demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3
Last synced: 04 Feb 2026
https://github.com/youssefali11997/100-numpy-exercises
100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.
Last synced: 18 May 2026
https://github.com/rohansoni45/movie-recommendation-system
This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.
content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn
Last synced: 17 Apr 2026
https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
Last synced: 17 Jan 2026
https://github.com/redreaper420/secret-qr-code-injector
Script for secret QR code injection into PNG images.
image-manipulation numpy pillow png python qrcode steganography
Last synced: 14 May 2026
https://github.com/0xkibh/books-recommendation-system
This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.
bootstrap css flask font-awesome html numpy pandas pickle
Last synced: 07 Apr 2026
https://github.com/alyssahusna44/poai-image-classification
An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. ๐๏ธ
artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/harmanveer2546/house-price-prediction-using-machine-learning
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine
Last synced: 07 Apr 2026
https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials
Last synced: 09 Apr 2026
https://github.com/yusufterzii/numpybasics
numpy numpy-arrays numpy-exercises
Last synced: 18 May 2026
https://github.com/dineshdhamodharan24/singapore_flat_resale_
This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.
data-analysis flat json numpy pandas pickle project python streamlit
Last synced: 07 Apr 2026
https://github.com/bishopce16/world_weather_analysis
The projectโs objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.
apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy
Last synced: 13 Apr 2026
https://github.com/farzeennimran/moon-phases-prediction-using-ai
Deep learning model that predicts the phase of the moon ๐๐๐๐๐๐๐
artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow
Last synced: 07 Apr 2026
https://github.com/vbhvsingh0/cdc_immunization
This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.
data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3
Last synced: 05 May 2026
https://github.com/brenderb/python-projects
General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files
csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty
Last synced: 05 Apr 2025
https://github.com/vbhvsingh0/deforestation_rainfall_correlation
The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.
correlation-analysis data-science matplotlib-pyplot numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/vbhvsingh0/fraudulent_transactions
A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions
credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier
Last synced: 09 May 2026
https://github.com/isa1asn/mnist-neural-net
Applying neural networks on the MNIST dataset (from scratch & using tf)
from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow
Last synced: 12 Apr 2026
https://github.com/notshrirang/opennn
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
deep-learning machine-learning neural-network numpy
Last synced: 27 Apr 2026
https://github.com/shivjotchoudhary/shivjot-core
High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.
computer-vision data-science machine-learning numpy pandas python
Last synced: 18 Apr 2026
https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
Last synced: 25 Jan 2026
https://github.com/alexsolov28/vkrb
ะัะฟััะบะฝะฐั ะบะฒะฐะปะธัะธะบะฐัะธะพะฝะฝะฐั ัะฐะฑะพัะฐ ะฑะฐะบะฐะปะฐะฒัะฐ ยซะกะธััะตะผะฐ ะฐะฝะฐะปะธะทะฐ ะฐะปะณะพัะธัะผะพะฒ ะผะฐัะธะฝะฝะพะณะพ ะพะฑััะตะฝะธั ะดะปั ัะตัะตะฝะธั ะทะฐะดะฐั ะบะปะฐััะธัะธะบะฐัะธะธ ั ะธัะฟะพะปัะทะพะฒะฐะฝะธะตะผ Pandasยป
jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit
Last synced: 15 Feb 2026
https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
Last synced: 19 Jan 2026
https://github.com/mituskillologies/aiml-dypiemr-sep24
Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.
artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
Last synced: 27 Jan 2026
https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
deep-learning epoch heatmap mobilenetv2 numpy pandas relu sckiit-learn train-test-split
Last synced: 20 Jan 2026
https://github.com/rohansahu15/stackoverflow-hashtag-generator
ai machine-learning nlp numpy pandas
Last synced: 18 Jan 2026
https://github.com/chandkund/predicting-heart-disease
Welcome to the Heart Disease Prediction project! ๐ฉบ This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Jan 2026
https://github.com/imdadmiran17/data_analysis_exercise
data-analysis numpy numpy-arrays numpy-exercises python3
Last synced: 17 May 2026
https://github.com/Mike014/SoundBot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 12 Sep 2025
https://github.com/aapo-kossi/christmas_tree_spectrogram
Colab notebook to generate a spectrogram visualization on a programmable led installation
colab-notebook numpy pandas python
Last synced: 07 Apr 2026
https://github.com/hanzopgp/tensorflowtest
Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
Last synced: 07 Apr 2026
https://github.com/hansalemaos/stridesduplicatefinder
Calculate overlapping values between two arrays and return the results as a DataFrame
duplicates fast numexpr numpy strides
Last synced: 07 Mar 2026
https://github.com/subhamsarangi/visualize
Data Visualizations using Python
bokeh matplotlib numpy pandas pyplot python3 seaborn
Last synced: 07 Apr 2026
https://github.com/hbmartin/mathjs-to-func
Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.
ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy
Last synced: 17 May 2026
https://github.com/razvan48/digit-recognizer-in-python
A simple digit recognizer written using Python.
graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python
Last synced: 17 May 2026
https://github.com/jose-zothner-meyer/finance-individual-loans
A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.
credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn
Last synced: 09 Apr 2026
https://github.com/orthoin3d/django-ndarrayfield
New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
Last synced: 07 Mar 2026
https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
Last synced: 05 Apr 2026
https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/ediloaz/machine-learning-study-and-tests
Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.
cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow
Last synced: 08 Apr 2026
https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
Last synced: 20 Jan 2026
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region
numpy opencv-python pycharm-ide
Last synced: 05 May 2026
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 07 Apr 2026
https://github.com/ramyacp14/global-warming-analysis
Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.
data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/krishbharadwaj5678/clearbg
Instantly remove backgrounds from any image with Clear BG. Upload your photos, remove the unwanted backdrop, and download the result in seconds.
background-remove background-remover deployment numpy onnxruntime pillow python python3 rembg streamlit
Last synced: 07 Apr 2026
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 02 May 2026
https://github.com/alphan26/airbnb-data-visualization
I've used the airbnb new york dataset from kaggle to make a comprehensive data visualization using pandas, seaborn, matplotlib.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/beyzabasarir/spotify-youtube-eda
Exploratory Data Analysis of global songs' performance metrics on Spotify and YouTube with Python, using Jupyter Notebook.
eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/lmizner/codecademy_biodiversity
Using knowledge of data analysis to interpret data about endangered animals for the National Park Service
barplot jupyter-notebook matplotlib-pyplot numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/maximlevchenko/python-course-convolution-orb-detector-data-processing-2d-game
This repository contains a collection of projects developed during a university Python course. Each project explores different aspects of data processing, analysis, and computer vision.
2dgame bomberman-game computer-vision convolution harris-corner-detector image-processing keypoint-detection numpy pandas python statistical-analysis
Last synced: 30 Apr 2026
https://github.com/manorohith-03/attendance-system-using-face-recognition
The system leverages the Python programming language and several powerful libraries for image processing and face recognition. The ultimate goal is to provide a more efficient, accurate, and user-friendly attendance tracking solution.
face-recognition numpy opencv pandas python-3
Last synced: 30 Apr 2026
https://github.com/eryks1999/titanic-project
jupyter matplotlib numpy pandas python seaborn titanic-kaggle
Last synced: 30 Apr 2026
https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.
data-analysis data-science dataset eda exploratory-data-analysis machine-learning matplotlib ml model-building model-training numpy pandas pre-processing python seaborn
Last synced: 01 May 2026
https://github.com/tom-uchida/datascience_handbook
Python private lesson
data-science matplotlib numpy python
Last synced: 01 May 2026
https://github.com/bjpcjp/optimize-mktg-spend-with-lagrange
simple demo of marketing (2 channel) spend optimization
lagrange matplotlib matplotlib-pyplot numpy python scipy
Last synced: 01 May 2026
https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
Intro to Artificial Intelligence Free Course from @LeWagon
ai ai-courses artificial-intelligence data-science lewagon machine-learning numpy pandas prophet-facebook regression-models scikit-learn sklearn
Last synced: 01 May 2026
https://github.com/splithor1zon/edu-barriermethodlp
Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.
barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python
Last synced: 01 May 2026
https://github.com/hghyhghy/notebook
Repo consist numpy , matplotlib and pymongo aggression
jupyter-notebook matplotlib numpy pymongo python-3
Last synced: 01 May 2026
https://github.com/ismaelvr1999/bioinspiredalgorithms
This repository contains implementations of various bioinspired algorithms for optimization and machine learning.
machine-learning matplotlib numpy python tensorflow
Last synced: 01 May 2026
https://github.com/shibbir24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
Last synced: 01 May 2026
https://github.com/mohhasan1/machine-learning
This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.
machine-learning matplotlib numpy pandas seaborn sklearn
Last synced: 01 May 2026
https://github.com/avinashkr-ai/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
Last synced: 01 May 2026
https://github.com/abdoomohamedd/python-data-analysis-projects
A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp
data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python
Last synced: 01 May 2026
https://github.com/emmanueltobi/ai-academy-university
Code samples from the Intel Nervana AI Academy University held in FUTA
ai classification-algorithm dataset intel numpy regression regression-models sklearn
Last synced: 01 May 2026
https://github.com/sujitmandal/big-mart-sales
Big Mart Sales Prediction..
data-science numpy pandas prediction python statistics supervised-learning
Last synced: 01 May 2026
https://github.com/satyamtripathi8/tools_for_data_science
Introduction to Data Science Tools(Python)
data-analysis-python matplotlib-pyplot numpy pandas
Last synced: 01 May 2026
https://github.com/offthetab/nn_homework
ะัะฐะบัะธัะตัะบะธะต ัะฐะฑะพัั ะฟะพ ะฝะตะนัะพะฝะฝัะผ ัะตััะผ ะะะ ะญะ 3 ะบััั.
gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision
Last synced: 01 May 2026
https://github.com/lmlk-seal/arrowshelf
A lightning-fast, zero-copy, cross-process data store for Python using Apache Arrow.
apache-arrow big-data cross-process data-processing data-science data-store distributed-computing high-performance ipc lightning-fast memory-mapping multiprocessing numpy pandas parallel-computing performance-optimization python scientific-computing shared-memory zero-copy
Last synced: 01 May 2026
https://github.com/aniketwithpython/fundamentals-of-scientific-computing
Fundamentals of Scientific Computing (MS1980) Notebook
jupyter matplotlib numpy pandas python
Last synced: 01 May 2026
https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf
Last synced: 01 May 2026
https://github.com/meepo69/urban-air-quality-prediction-using-deep-learning
deeplearning nueral-networks numpy python pytorch
Last synced: 01 May 2026
https://github.com/abideen-olawuwo/pyspark-prediction
pyspark prediction
linear-regression numpy pandas pyspark
Last synced: 01 May 2026
https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
Last synced: 01 May 2026
https://github.com/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy
Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.
deep-learning neural-network numpy softmax-classifier
Last synced: 02 May 2026
https://github.com/ducha-aiki/laf2ell
Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.
ellipse laf local-features numpy visualization
Last synced: 02 May 2026
